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We present original data indicating that under positive gate bias these devices with p-GaN gate may show a negative threshold voltage shift, which is fully recoverable.
One consequence of these changes is a more porous structure, which is consistent with the original data indicating that a mitochondrial monosome had a low sedimentation coefficient of 55S [11,17].
In addition, we found that the ML tree from the predicted data received less bootstrap support on most branches than that based on original data, indicating that the exclusion of RNA-editing sites reduced phylogenetic signal.
We used an empirical sampling strategy (described in Methods) to examine whether this overlap was significant: in 10,000 randomly chosen sets of SNP with similar MAF, we found 0 instances of overlap as great as the overlap in the original data, indicating that the observed overlap is significantly greater than expected by chance (p < 1×10-4).
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A significant difference between surrogate data and original data indicates that conditional probabilities are not involved in the generation of the series.
The highest overall efficiencies of prediction (overall accuracy 87.8%, kappa 0.781) were calculated using only 10% of the original training data indicating that low numbers of properly selected training sites from class boundaries could be appropriate for the support vector machines.
The original model seems to fit spurious effects in the data, indicating that it was over-fitted.
That was much slower than expected and added to data indicating that the economy was slowing.
Data indicating that the pace of rate increases could be slower undermine the dollar's value.
Similarity of results of the models based on original and transformed data indicates that the generalized linear model on the basis of the original data represents the interrelations sufficiently.
SMELL, as main effect, produced a log-MEP increase of about 7% (p<.001); estimated marginal means (in the original scale of raw data) indicated that no-smell average MEP size was 482 µV and smell-MEP was 748 µV, corresponding to a 55% increase.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com